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Why did peasants in old-regime Europe scatter their land in small strips within open fields? According to an influential theory advocated by Deirdre McCloskey, the system’s main aim was risk reduction. By spreading out land, peasants were less exposed to the caprices of nature: heavy rains, droughts, frost, or hailstorms. In a time when other insurance institutions were lacking, this approach could be a rational solution, even if, as McCloskey suggests, it could be achieved only at the expense of overall agricultural productivity.

Over the years, McCloskey’s theory has repeatedly been debated. Still, it has never been empirically established to what extent the open fields actually reduced risk. McCloskey offered only indirect evidence, based on hypothetical calculations from short series demesne level yields. Risks on enclosed and open-field land farms were thus never compared.

This chapter presents farm-level harvest variation series, including observations from both types of land. It is based on tithe records of 1,700 farms in Southern Sweden from 1715–1860. Results show that scattering had a limited effect on agricultural risk. The system did protect against small-scale local crop failures. It was less efficient, however, when it came to the large-scale regional harvest disasters that constituted a much more serious threat to peasants of the time. From this perspective, the inner logic of the open-field system is taken up for renewed consideration.

How are institutional logics transgressed in the organizational fields of open source software and of commercial proprietary software, respectively, by developing a new practice of commercial open source software? I argue that by combining a Critique of Ideology Critique and a Critique of New Institutional Organizational Theory, we become better equipped for understanding institutional change in organizations applying concepts such as institutional entrepreneurs, discursive devices, and meaning arenas. The analysis show that many institutional entrepreneurs apply discursive devices to convince actors in the two organizational fields of the legitimacy of the new practice. This happens in many different meaning arenas such as in the market, in the public discourse, and in concrete open source projects. I advance the assumption that a relation established between institutional entrepreneurs of different legitimacy in the two original fields renders possible their institutional work.

Gives introductory remarks about chapter 1 of this group of 31 papers, from ISEF 1999 Proceedings, in the methodologies for field analysis, in the electromagnetic community. Observes that computer package implementation theory contributes to clarification. Discusses the areas covered by some of the papers ‐ such as artificial intelligence using fuzzy logic. Includes applications such as permanent magnets and looks at eddy current problems. States the finite element method is currently the most popular method used for field computation. Closes by pointing out the amalgam of topics.

The purpose of this paper is to review the emerging research field of open innovation and identify where the field is going as well as suggest future fields of research.

All academic papers and books published until November 2007 under the label of open innovation were systematically reviewed. Also, nine key researchers were asked to contribute with their opinions on the research frontier.

A number of key themes in the research were identified, and conclusions on the underlying structure were drawn. This reveals that there is a tendency towards a broader definition and application of the term, a growing critical perspective, and a concentration on theory development and managerial implications.

The paper suggests that the locus of the innovation process and the extent of collaboration should be used as two dimensions in a model to further understanding of how open innovation develops. These dimensions have an important impact on both the human and the organizational side of innovation, areas that are highlighted as important fields for further research.

Despite the interest in the open innovation topic, a comprehensive review of the academic publications in the area does not seem to exist. The review and the conclusions drawn support the understanding of the growing field.

This paper aims to investigate the contents of heavy metals Cd, Cr, Ni, Cu, Pb and Zn in the soil of vegetable production bases in the Yongnian County of Hebei Province by random sampling.

The environmental quality conditions of these heavy metals were evaluated by both the single quality index and comprehensive quality index methods.

It was concluded that the average heavy metal contents in the soil of protected vegetable fields in the Yongnian County are all under the limit values prescribed by the environmental quality evaluation standard for farmland of greenhouse vegetables production (2007), so the soil’s environmental quality is classified as first class regarding cleanliness. It is fit for the plantation of non-polluted vegetables. It is shown that there is a cumulative trend of heavy metal contents in the soil with age after analysis of a correlation coefficient between heavy metal contents and age in Yongnian’s protected fields and excessive application of fertilizers or organic fertilizers, which is the main factor leading to an increase in heavy metal contents in the soil.

It is suggested that the amount of fertilizer should be properly reduced to prevent the soil’s environmental deterioration, the vegetable planting structure should be improved and the vegetables grown in areas with weaker accumulation of heavy metals should be cultivated.

The purpose of this paper is to provide a methodological framework for evaluating the impact of open innovation (OI) adoption on start-up ventures at the knowledge domain level, taking into account the technological specialization and the quality of innovation output.

The framework employs patent data for investigating joint development activities between start-ups and partners, thus defining an openness degree of R&D. The partner typology and the levels of specialization on the knowledge fields affected by each invention are investigated. The methodology is tested on a sample of bio-pharmaceutical start-ups.

On average, the openness level in the start-up phase is higher than the consolidation one. Furthermore, the higher the level of openness during the start-up phase, the higher the propensity to collaborate with scientific organizations. And yet, the occurrence of R&D collaborations is positively correlated to the level of specialization on the knowledge fields involved in joint development activities.

OI strategies are valuable for start-ups, particularly in the bio-pharmaceutical industry, since their adoption improves the quality of innovation output. This is particularly true when R&D collaborations are established with scientific entities.

This work investigates the impact of OI adoption on start-up ventures at the knowledge domain level, by employing objective and standardized data. Hence, the methodology can be considered as a first step in developing a useful tool for managers, researchers and business analysts.

A hybrid formulation is proposed that incorporates finite element substructuring and Galerkin boundary elements in the numerical solution of Poisson's or Laplace's equation with open boundaries. Substructuring the problem can dramatically decreases the size of matrix to be solved. It is shown that the boundary integration that results from application of Green's first theorem to the weighted residual statement can be used to advantage by imposing potential and flux continuity through the contour which separates the interior and exterior regions. In fact, the boundary integration is of exactly the same form as that found in Galerkin boundary elements.

This paper discusses the perfectly matched layer method recently proposed for the computation of static or quasistatic fields in open boundaries. In particular it is shown how the method can be derived by means of a particular co‐ordinate transformation applied to a finite‐size isotropic domain surrounding the system of interest. The method is therefore equivalent to a trivial truncation from the point of view of both accuracy and computing time.

In this chapter, we describe a multilevel, longitudinal, comparative case study approach for investigating organizational heterogeneity based on our experience studying institutional change in the health care field (Scott, Ruef, Mendel, & Caronna, 2000). By examining the relationship between organizations, populations, and fields, differences between organizations can be captured in terms of their organizational identities as well as their (changing) relationships with the organizational field. We discuss the analytical strategies we used in our study of institutional change and describe our findings of organizational heterogeneity across levels and over time. We conclude with suggestions for future research that incorporate elements of our study design and lessons from our research process and outcomes.